Mac mini (2024)
Geekbench AI Score
4660
Single Precision Score
7791
Half Precision Score
6268
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 04:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1966
365.5 IPS |
|
|
Image Classification (HP)
|
100% |
3287
611.3 IPS |
|
|
Image Classification (Q)
|
96% |
2236
417.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9776
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19014
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16458
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
97% |
3716
295.9 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7452
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4398
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8097
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14577
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10214
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25152
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38448
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31758
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5827
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4812
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6926
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7009
121.1 IPS |
